Every reliable test follows the same four steps: form a hypothesis, build the variants, split the traffic, and read the result once there is enough data.
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#ABTesting#CRO
Two versions, or several? A/B is the simplest to read and needs the least traffic. A/B/n lets you compare more ideas in one test, with more traffic and adjusted statistics.
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#ABTesting#ABnTesting
A/B/n testing compares an original with several variants at once, for example three headlines against the current one, with traffic shared equally.
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Reliable statistics come first on our roadmap. The editor, integrations and alerts follow.
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#Experimentation#GrowthMarketing
Many people I know can't tell what appeals to their website visitors. They aren't marketers or developers, and A/B testing tools are expensive and hard to start.
I hit the same wall, and so did two friends. So I'm building Twinpage.
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Stopping an A/B test at the first green reading is one of the most common causes of false winners.
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#ABTesting#Experimentation
A/B testing compares an original page with one changed version. Visitors are split between the two, and the version that performs better on your goal wins.
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#ABTesting#CRO
Twinpage, a platform for website experimentation. The goal is simple: run an A/B or A/B/n test, and be able to rely on the result.
Join the waitlist: https://t.co/AZ8xMi1BF4
#ABTesting#Experimentation